Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/343287
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dc.date.accessioned2021-10-06T06:42:53Z-
dc.date.available2021-10-06T06:42:53Z-
dc.identifier.urihttp://hdl.handle.net/10603/343287-
dc.description.abstractThe real world applications of digital signal/image processing demand high performance VLSI circuits. This work uses an incremental design approach to achieve higher performance. The first part of this work optimizes the basic building blocks of digital signal processing in area, delay, and power. In the second part, these optimized building blocks are used to design the discrete transforms. The proposed basic building blocks by this work are high speed multiplexer - which is designed by the decomposed tree of smaller multiplexers with less delay, floating point multiply and accumulator (MAC) - eliminates the separate accumulator by combining the previous result as a partial product of the present multiplication, quarter precision n * n-bits multiplier/MAC - used to perform four n/2 * n/2 or two n * n/2 or one n * n-bits multiplication(s)/MAC(s) in parallel. In case of high performance discrete transformations, fast Fourier transform (FFT), discrete wavelet transform (DWT), and discrete orthogonal multi-transform on chip (DOMoC) are considered. The quarter precision multiplier/MAC is used to design the convolution based 1D/2D DWT. The proposed techniques used in the lifting based 1D/2D-DWT architectures are to perform the whole operation with single proposed processing element (PE) and multiple proposed PEs. The former case optimizes the hardware cost and later case optimizes the delay. The proposed floating point fused multiply-add is used to design the proposed PE for lifting based 1D/2D DWT. The proposed technique in 1D-FFT is to bring down the number of cycles and number of Butterfly units in the existing folded and parallel architecture respectively. The proposed N-point discrete orthogonal multi-transform on chip (DOMoC) is to perform multiple forward/reverse N, N/2, N/4, ...2-point discrete orthogonal transforms like FFT, sine, cosine, Haar, Hartly, Slant, Walsh, and Hadamard transforms. The proposed designs are newlinemodeled in Verilog HDL and synthesized using 45 nm TSMC library.
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleHigh Performance VLSI Architectures for Discrete Transformations
dc.title.alternative
dc.creator.researcherMohamed Asan Basiri, M
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Hardware and Architecture
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideNoor Mahammad, Sk
dc.publisher.placeChennai
dc.publisher.universityIndian Institute of Information Technology Design and Manufacturing Kancheepuram
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered2012
dc.date.completed2016
dc.date.awarded2016
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science & Engineering

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01_title.pdfAttached File118.55 kBAdobe PDFView/Open
02_certificate.pdf97.15 kBAdobe PDFView/Open
03_acknowledgement.pdf61.24 kBAdobe PDFView/Open
04_abstract.pdf110.87 kBAdobe PDFView/Open
05_contents.pdf82.96 kBAdobe PDFView/Open
06_list_of_tables.pdf138.18 kBAdobe PDFView/Open
07_list_of_figures.pdf155.47 kBAdobe PDFView/Open
08_abbreviations.pdf43.92 kBAdobe PDFView/Open
09_chapter1.pdf381.02 kBAdobe PDFView/Open
10_chapter2.pdf1.57 MBAdobe PDFView/Open
11_chapter3.pdf1.56 MBAdobe PDFView/Open
12_chapter4.pdf4.65 MBAdobe PDFView/Open
13_chapter5.pdf1.65 MBAdobe PDFView/Open
14_chapter6.pdf3.53 MBAdobe PDFView/Open
15_chapter7.pdf114.24 kBAdobe PDFView/Open
16_references.pdf161.44 kBAdobe PDFView/Open
17_list_of_papers.pdf90.12 kBAdobe PDFView/Open
18_curriculum_vitae.pdf44.42 kBAdobe PDFView/Open
80_recommendation.pdf212.51 kBAdobe PDFView/Open


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